---
    language: vi
    license: apache-2.0
    tags:
    - vietnamese
    - poem-analysis
    - t5
    - seq2seq
    datasets:
    - kienhoang123/Vietnamese_Poem_Analysis_VN
    ---
    
    # T5 Model for Vietnamese Poem Analysis
    
    This model was fine-tuned on kienhoang123/Vietnamese_Poem_Analysis_VN to analyze Vietnamese poetry.
    
    ## Model Details
    
    - **Base Model**: t5-small
    - **Training Data**: Vietnamese poem analysis dataset
    - **Tasks**: Extract emotion, metaphor, setting, motion, and prompt from Vietnamese poems
    
    ## Usage
    
    ```python
    from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
    
    tokenizer = AutoTokenizer.from_pretrained("kienhoang123/ViT5_Poem_Analysis")
    model = AutoModelForSeq2SeqLM.from_pretrained("kienhoang123/ViT5_Poem_Analysis")
    
    poem = "Your Vietnamese poem here"
    inputs = tokenizer(poem, return_tensors="pt")
    outputs = model.generate(**inputs)
    result = tokenizer.decode(outputs[0], skip_special_tokens=True)
    print(result)
    ```
    
    The output is formatted as: "emotion ||| metaphor ||| setting ||| motion ||| prompt"